Measurement and Data Analysis for Engineering and Science

Presenting the fundamental tools of experimentation that are currently used by engineers and scientists, Measurement and Data Analysis for Engineering and Science, Second Edition covers the basics of experimentation, hardware of experiments, and methods of data analysis. It also offers historical perspectives throughout. Updating and reorganizing its popular predecessor, this second edition makes the text much easier to follow and enhances the presentation with electronic material.

New to the Second Edition

• Order of chapters now reflects the sequence of topics usually included in an undergraduate course
• Asterisked sections denote material not typically covered formally during lecture in an introductory undergraduate course
• More than 150 new problems, bringing the total to over 420 problems
• Supplementary website that provides unit conversions, learning objectives, review crossword puzzles and solutions, differential equation derivations, laboratory exercise descriptions, MATLAB^® sidebars with M-files, and homework data files

Thorough and up to date, this edition continues to help students gain a fundamental understanding of the tools of experimentation. It discusses basic concepts related to experiments, measurement system components and responses, data analysis, and effective communication of experimental findings.

Ancillary materials for instructors are available on a CD-ROM and a solutions manual is available for qualifying instructors. More data available on www.nd.edu/~pdunn/www.text/measurements.html

Patrick F. Dunn is a professor of aerospace and mechanical engineering at the University of Notre Dame.